Microsoft-Foundry
Guide AI agent workflows in Microsoft Foundry, from discovering models and preparing resources to deployment, evaluation, and troubleshooting.
Explore Microsoft developer tools, Azure Agent Skills, and public software projects. Compare cloud preparation, deployment, diagnostics, and application development resources, then follow the official repositories to understand which tools support the work you want to complete.
Microsoft publishes developer software, cloud tooling, educational resources, and AI-related projects through its public GitHub organization. Its work spans editors and programming languages as well as service-specific tools, giving developers several entry points for building applications and managing their infrastructure.
Within this collection, Azure Skills packages cloud workflows for coding agents. Its instructions help route work through preparation, validation, deployment, diagnostics, and platform services. MCP configurations provide access to execution tools, while the Skills explain how to approach the corresponding Azure tasks.
These cloud instructions sit alongside broader projects such as Visual Studio Code and TypeScript. An editor, a language compiler, and an Agent Skill play different roles in development. Start with your application and hosting requirements, then choose the relevant repository rather than treating the entire Microsoft catalog as one package.
Explore Microsoft Azure Skills for preparing applications, checking deployment prerequisites, investigating production issues, and working with storage or AI services. Compare the scope of each workflow, its service requirements, and the expected inputs before choosing a method.
Guide AI agent workflows in Microsoft Foundry, from discovering models and preparing resources to deployment, evaluation, and troubleshooting.
Prepare an application for Azure by choosing services and generating infrastructure definitions, container configuration, and deployment plans before execution.
Check Azure deployment prerequisites, infrastructure definitions, configuration, and permissions so environment issues can be addressed before deployment begins.
Run the Azure deployment workflow after preparation and validation, then inspect the deployment result and report the application outcome.
Investigate Azure production issues through resource health, logs, metrics, and recent changes, with guidance tailored to the affected service.
Navigate Azure storage tasks across Blob, Files, queues, tables, and Data Lake, selecting service guidance that matches the workload.
Explore Microsoft software projects for writing, understanding, and maintaining application code. Review the editor and language tooling below, then visit the repositories for source code, contribution guidance, extension points, and current development documentation.
Explore the source behind Visual Studio Code, a code editor with language services, debugging, extensions, and integrated development workflows.
Add a type system to JavaScript projects with TypeScript, using compiler checks and editor tooling to support application development.
Explore developer tools, software projects, and Agent Skills from other teams and creators. Compare their areas of focus, representative work, and intended tasks to find more resources for development and collaboration.
Start with the task you want to complete, compare the selected Skills and software projects, and open their original documentation to understand the workflow, environment, and integration options before choosing your next step.